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Web Automator

Purpose of this Project

  • Processes the dataset in the source .csv file and compares each column in the source file to the columns in the template .csv file and uses the most similar columns in the template file to transform the columns in the source file. It alos discards duplicate columns and irrelevant columns.

Starting Command

python app.py ./source/table_A.csv ./source/template.csv target.csv

Link to Loom Video Brief Explanation of the Concept

  • Command Line Execution Version & User Interface Version
  • Shortcoming of the GPT Model and Possible Solutions

About

This Project is about automating (using GPT) the processing of a source .csv file, compares each column in the source file to the columns in the template .csv file and uses the most similar columns in the template file to transform the columns in the source file. It also discards duplicate columns and irrelevant columns.

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